What and Why of Graph Databases

  • A relational database is made of foreign key constraints which simply means relationships.
  • It is ideal for processing transactions, because of its constraining nature. Therefore, making this structure more efficient for input constraints and locking them.
  • Relational databases are the most popular query tool across businesses. The tabular structure makes them a good choice for records with uncomplicated relationships.
Source: Detective The Game
  • The increased emphasis on relationships in graph databases aids in the exploration of large data sets. It benefits data professionals in discovering unexpected connections between data points, making them an excellent solution for use cases involving relationships.
  • Social networking, fraud detection, and recommendation engines are all common use cases for graph databases.
  • The ability to map relationships makes graph databases a good fit for data visualization.

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